Sr. Data Analytics Engineer Data & Analytics

Job Title: Sr. Data Analytics Engineer Data & Analytics

Location: Remote

Client update below::-

We need candidate with Gherkins exp not Jenkins. We need someone who understands the System design concepts on a web app with APIs as backend.

We re seeking a Senior Analytics Engineer who can wear dual hats of Data engineer and business system analyst to lead the development of robust, scalable data products that power decision-making across the organization. This role focuses on designing analytics-ready datasets, leading product data discovery efforts, translating complex business logic into code, and automating quality assurance within a modern data platform Databricks Required. You will work closely with cross-functional partners and help elevate engineering standards within the team.

What You ll Do

Should be able to lead the team/Track , must be comfortable with documentation :- as a lead should be able to gather the business requirement and convert them to stories (ADO Azure devops)/requirement documents, can create business documents such as BRD, FRD , source to target mapping document etc. Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology tack to ensure optimal scalability and performance of the solution. Identify opportunities to maximize business outcomes through data product design, analytics enablement, and workflow automation. Perform complex analysis and gain a thorough understanding of the current processes along with the expected outcome for new value-based programs and enhancements. Develop and Validate ETL processes and data transformations using advanced SQL, Python or similar programming languages in databricks Collect and translate business logic into reusable, well-documented data lineage, transformation processes, and logical data models Design and implement automated testing frameworks using programming languages such as Python, PySpark, and SQL for data pipelines on Databricks Conduct product data discovery and analysis by building analytics-ready datasets that drive informed business decisions Collaborate cross-functionally to ensure alignment on business definitions and user stories Convert business logic into automated test cases to enable faster and more reliable development cycles Provide technical mentorship to junior engineers and data users

What We re Looking For

Bachelor s degree required in Computer Science, Engineering, Data Science, or a related field. 5+ years of experience in analytics engineering or a similar data-focused role. Ability to conduct product data discovery and find the insight of the data based on the business requirements and translate them into clear, technical documentation Proficiency in SQL for in-depth data analysis and validation of test logic Solid experience of Python or other scripting languages Hands-on experience with Databricks or other large-scale data platforms is highly desirable Strong understanding of data modeling, pipeline validation, and business metrics. Excellent collaboration and communication skills with both technical and non-technical partner